Connection-Aware P2P Trading: Simultaneous Trading and Peer Selection
CoRR(2024)
摘要
Peer-to-peer (P2P) trading is seen as a viable solution to handle the growing
number of distributed energy resources in distribution networks. However, when
dealing with large-scale consumers, there are several challenges that must be
addressed. One of these challenges is limited communication capabilities.
Additionally, prosumers may have specific preferences when it comes to trading.
Both can result in serious asynchrony in peer-to-peer trading, potentially
impacting the effectiveness of negotiations and hindering convergence before
the market closes. This paper introduces a connection-aware P2P trading
algorithm designed for extensive prosumer trading. The algorithm facilitates
asynchronous trading while respecting prosumer's autonomy in trading peer
selection, an often overlooked aspect in traditional models. In addition, to
optimize the use of limited connection opportunities, a smart trading peer
connection selection strategy is developed to guide consumers to communicate
strategically to accelerate convergence. A theoretical convergence guarantee is
provided for the connection-aware P2P trading algorithm, which further details
how smart selection strategies enhance convergence efficiency. Numerical
studies are carried out to validate the effectiveness of the connection-aware
algorithm and the performance of smart selection strategies in reducing the
overall convergence time.
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